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Item #:
89044669
Machine Learning for Beginners: A Complete and Phased Beginners Guide to Learning and Understanding Machine Learning an, (Paperback)
Item #:
89044669
BWP 472
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A Complete and Phased Beginner's Guide to Learning and Understanding Machine Learning and Artificial Intelligence.
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What Stands Out
Comprehensive Guide
Offers a complete roadmap for beginners, making complex concepts in machine learning and AI easy to understand through phased learning, ensuring a solid foundation for future advancements.
Accessible Learning
Designed specifically for novices, this guide breaks down intricate topics into digestible sections, fostering self-paced learning that caters to varied learning speeds and styles.
Practical Insights
Includes real-world examples and applications, equipping learners with practical knowledge and skills that boost confidence and problem-solving abilities in the field of machine learning.
Product Details
- Are you fascinated about machine learning and AI and you don't know where to start? Have you ever heard people talking about Machine Learning but you only have a vague idea of the actual meaning? Do you want to understand how machine learning could simplify your daily life?Imagine a world where computing systems understand people and the world around us them to a point where they can notice patterns, collect data, interpret it and give recommendations to solve real world problems with high level of precision.It sounds like science fiction but it is happening in healthcare, agriculture, cyber security, facial recognition, targeting and retargeting customers in online advertising, recommending specific products, stories, videos, text etc., self-driving cars, real time pricing, predicting human behavior and much more.Now imagine you being one of the people behind the code; the people who get these advanced systems to work the way they do.Would it be a dream come true for you?By virtue that you are reading this, it is clear that you have some special liking for this advanced tech and would want to learn how you can be one of the people behind the code.Even if not, you probably want to be able to understand the inner workings of these systems.The concept may sound extremely out there and advanced but it won't be if you follow this guide, which takes an easy to follow, beginner friendly language to help you to understand the ins and outs of machine learning!Here is a summary of what this book will teach you: The basics of machine learning, including what it is, how machine learning has evolved over the years, the application of machine learning in today's world and the future of machine learning How machine learning is beneficial in today's worldThe different approaches to machine learning, including unsupervised, supervised, reinforcement learning method, semi-supervised machine learning and many others The concept of big data analysis, including what is big data, why big data is important, the application of big data in today's world as well as the different data analysis tools that you can useThe link between big data and machine learning The different machine learning algorithms, including what machine-learning algorithms are and how and when the different learning algorithms are usedThe concept of artificial neural networks, including how they work, when to use neural networks and more How decision trees are used in machine learning, including what decision trees are (in respect to machine learning), how they work, how the decision tree is read, the different nodes in decision trees and when to use them
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | December, 2019 |
| Pages | 156 |
| Subgenre | Machine Theory |
| Series title | No Series |
| Edition | 1 |
| Publisher | Independently Published |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 5.98 x 0.33 x 9.02 in (15.2 x 0.8 x 22.9 cm) |
| Assembled product weight | 0.48 lb (220 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Complete Newbies
Ideal for individuals with no prior experience in machine learning or artificial intelligence who seek a foundational understanding.
-
Students
Great for college or university students studying computer science who need a structured approach to grasp machine learning concepts.
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Self-Learners
Suitable for enthusiastic self-learners seeking a comprehensive resource for independent study in machine learning and AI.
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Experienced Practitioners
Not useful for professionals with substantial experience in machine learning seeking advanced topics or specialized techniques.
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Researchers
Lacks the depth needed for academic researchers looking for cutting-edge theories or applied methodologies in machine learning.
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Quick Learners
Not suitable for users who prefer fast-paced modules, as it offers a gradual and phased learning approach.
Product Description
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Customer Questions & Answers
-
Question:
Is this book suitable for complete beginners?
Answer: Yes, it is designed specifically for beginners with no prior knowledge. -
Question:
What topics are covered in the book?
Answer: The book covers fundamental concepts and practical applications of Machine Learning and AI. -
Question:
Can this book be used as a course supplement?
Answer: Absolutely, it serves as an excellent supplement for academic courses in technology and data science.
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BWP 472
Order now and get it around Friday, July 10
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QTY:
Only 99 items left in stock.
Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
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Features & Benefits
- Ideal for beginners interested in Machine Learning.
- Offers a phased approach for easy understanding.
- Covers fundamental concepts of Machine Learning and AI.
- Provides practical insights and knowledge.
- Perfect for self-study or as a course supplement.
- Empowers readers to start their journey in AI and ML.